메뉴 건너뛰기




Volumn 2, Issue 1, 2008, Pages

ANT colony optimization algorithm for feature selection and classification of multispectral remote sensing image

Author keywords

ACO; Multispectral image; Spectral feature; Texture

Indexed keywords

ACO; ACO ALGORITHMS; ANT COLONY OPTIMIZATION ALGORITHMS; CLASSIFICATION ACCURACY; FEATURE SELECTION AND CLASSIFICATION; FEATURE VECTORS; MULTI-SPECTRAL; MULTISPECTRAL IMAGE; MULTISPECTRAL REMOTE SENSING IMAGE; NEW APPROACHES; REMOTE SENSE IMAGES; SPECTRAL FEATURE; SUBSET SEARCHING; TEXTURE FEATURES;

EID: 66549107477     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2008.4779146     Document Type: Conference Paper
Times cited : (13)

References (19)
  • 3
    • 0032122746 scopus 로고    scopus 로고
    • Bayesian pixel classification using spatially variant finite mixtures and the generalized em algorithm
    • PII S1057714998043681
    • S. Sanjay-Gopal, and T. J. Hebert, "Bayesian pixel classification using spatially variant finite mixtures and the generalized EM algorithm", IEEE Trans. Image Processing, 7, No. 7, pp. 1014-1028, 1998. (Pubitemid 128745415)
    • (1998) IEEE Transactions on Image Processing , vol.7 , Issue.7 , pp. 1014-1028
    • Sanjay-Gopal, S.1    Hebert, T.J.2
  • 5
    • 0029273845 scopus 로고
    • An investigation on the texture characteristics associated with gray level co-occurrence matrix statistical parameters
    • A. Baraldi, and F. Parminggian, "An Investigation on the Texture Characteristics Associated with Gray Level Co-occurrence Matrix Statistical Parameters", IEEE Transaction on Geosciences and Remote Sensing, Vol.32, No.2, pp.293-303, 1995.
    • (1995) IEEE Transaction on Geosciences and Remote Sensing , vol.32 , Issue.2 , pp. 293-303
    • Baraldi, A.1    Parminggian, F.2
  • 6
    • 0036976981 scopus 로고    scopus 로고
    • A study on bayesian probabilistic image automatic segmentation
    • in Chinese
    • P. Guo, and H. Lu, "A Study on Bayesian Probabilistic Image Automatic Segmentation", Acta Optica Sinica, Vol.22, No. 12, pp.1479-1483, 2002. (in Chinese)
    • (2002) Acta Optica Sinica , vol.22 , Issue.12 , pp. 1479-1483
    • Guo, P.1    Lu, H.2
  • 7
    • 1842429086 scopus 로고    scopus 로고
    • Integrated spectral and spatial information mining in remote sensing imagery
    • J. Li, and R. M. Narayanan, "Integrated Spectral and Spatial Information Mining in Remote Sensing Imagery", IEEE Trans. on Geosciences and Remote Sensing, Vol.42, No. 3, pp.673-684, 2004
    • (2004) IEEE Trans. on Geosciences and Remote Sensing , vol.42 , Issue.3 , pp. 673-684
    • Li, J.1    Narayanan, R.M.2
  • 8
    • 0021404166 scopus 로고
    • MIXTURE DENSITIES, MAXIMUM LIKELIHOOD and the em ALGORITHM
    • R.A.Redner,andH.F.Walker,"Mixturedensities, maximumlikelihoodandtheEMalgorithm",SIAMReview,Vol.26,No.2,195-239,1984. (Pubitemid17491604)
    • (1984) SIAM Review , vol.26 , Issue.2 , pp. 195-239
    • Redner Richard, A.1    Walker Homer, F.2
  • 9
    • 0032634224 scopus 로고    scopus 로고
    • Classification of multisource remote sensing imagery using a genetic algorithm and markov random fields
    • B. C. K. Tso, and P. M. Mather, "Classification of Multisource Remote Sensing Imagery Using a Genetic Algorithm and Markov Random Fields", IEEE Trans. on Geosciences and Remote Sensing, Vol.37, No.3, pp.1255-1260, 1999.
    • (1999) IEEE Trans. on Geosciences and Remote Sensing , vol.37 , Issue.3 , pp. 1255-1260
    • Tso, B.C.K.1    Mather, P.M.2
  • 11
    • 0036613147 scopus 로고    scopus 로고
    • Spatial contextual classification and prediction models for mining geospatial data
    • June
    • S. Shekhar, P. R. Schrater, R. R. Vatsavai, W. Wu, and S. Chawla, "Spatial contextual classification and prediction models for mining geospatial data," IEEE Tran. Multimedia, vol.4, pp. 174-188, June 2002.
    • (2002) IEEE Tran. Multimedia , vol.4 , pp. 174-188
    • Shekhar, S.1    Schrater, P.R.2    Vatsavai, R.R.3    Wu, W.4    Chawla, S.5
  • 12
    • 0027387205 scopus 로고
    • A review of recent texture segmentation and feature extraction techniques
    • T.R.Reed,andJ.M.H.Buf," Areviewofrecenttexturesegmentationandfeatureextractiontechniques,"Comput. Vis.,ImageProcess.Graph.,vol.57,no.3,359-372,1993.(Pubitemid23382040)
    • (1993) CVGIP: Image Understanding , vol.57 , Issue.3 , pp. 359-372
    • Reed, T.R.1    H Du Buf, J.M.2
  • 13
    • 0141551743 scopus 로고    scopus 로고
    • Electronics Industry Press, Beijing
    • Q. Ruan, Digital Image Processing, Electronics Industry Press, Beijing, pp.419-424, 2001.
    • (2001) Digital Image Processing , pp. 419-424
    • Ruan, Q.1
  • 14
    • 37849002861 scopus 로고    scopus 로고
    • Image cutting method in recognition of check texture
    • W. Xue, W. Gao, and J. Liu, "Image Cutting Method in Recognition of Check Texture," Cotton Textile Technology, Vol.6, No.6, pp. 332-335, 2003.
    • (2003) Cotton Textile Technology , vol.6 , Issue.6 , pp. 332-335
    • Xue, W.1    Gao, W.2    Liu, J.3
  • 18
    • 35048837706 scopus 로고    scopus 로고
    • Ant Colony Optimization for Feature Selection in Face Recognition
    • Biometric Authentication
    • Z. Yan, and C. Yuan, Ant Colony Optimization for Feature Selection in Face Recognition, Biometric Authentication, Springer Berlin / Heidelberg, vol.3072/2004, pp.221-226, 2004. (Pubitemid 38999537)
    • (2004) LECTURE NOTES in COMPUTER SCIENCE , Issue.3072 , pp. 221-226
    • Yan, Z.1    Yuan, C.2
  • 19
    • 33845675473 scopus 로고    scopus 로고
    • Diversity control in ant colony optimization
    • Y.Nakamichi,andT.Arita,Diversitycontrolinantcolonyoptimization, ArtificialLifeandRobotics,SpringerJapan,vol.7,No.4,198-204,2004. (Pubitemid38615804)
    • (2004) ARTIFICIAL LIFE and ROBOTICS , vol.7 , Issue.4 , pp. 198-204
    • Nakamichi, Y.1    Arita, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.